Krishnakumar Thankappan

Kochi

Head and Neck Surgery, Reconstructive surgeon, Skull base surgeon, Robotic #Thyroidectomy,#Endoscopic thyroidectomy #India #Kochi #Kerala

Featured in: Favicon

Articles

Sample Size in Machine Learning

Dec 7, 2024 | medium.com | Krishnakumar Thankappan

Krishnakumar Thankappan·Follow5 min read·--The concept of sample size in machine learning (ML) studies shares some fundamental ideas with traditional statistical studies, but it differs in important ways due to the nature of ML models and the objectives of these studies. To understand these differences, it’s helpful to explore key statistical concepts such as power analysis, effect size, and diagnostic accuracy, and how they are applied in both traditional statistics and machine learning. 1.
Contrasting clinical outcomes and socio‐economic impact of young versus elderly‐onset oral squamous cell carcinoma, a novel health economic analysis

Jan 15, 2024 | onlinelibrary.wiley.com | Manraj Singh |Krishnakumar Thankappan |Deepak Balasubramanian |Vijay Pillai

1 INTRODUCTION Squamous cell carcinoma is the most common malignancy of the head and neck region, accounting for 90% of all cancers.1 Chronic exposure to oral mucosal carcinogens such as alcohol, tobacco and betel nut have been classically described as causative factors.2 Despite being a disease affecting mostly males in the fifth to eighth decades of life, there has been a notable epidemiological shift towards early-onset cancer, particularly among non-smokers.3, 4 The etiology behind this...